The potential impact of artificial intelligence (AI) across the real estate investment sector is significant, based on several contributing factors that have historically affected the segment: The high level of specialization required across region, asset type and investment strategy; reliance on research and synthesized data across a wide range of sources, both proprietary and market-based; information exchange across various functional teams and external intermediaries; and complex document and data analysis requirements throughout the investment lifecycle. Historically, this complexity, combined with the siloed and limited nature of market and asset-level information, has led to time-consuming, manual execution processes and limitations to deploying data-centered decision-making at speed and scale.
The emergence and continued advancement of AI capabilities are leading to immediate opportunities to deliver significant efficiencies across real estate investment processes, in
